Our approach focuses on the analysis of spatial relationships between three environmental (i.e., surface temperature, air pollution, vegetation cover) and two socio-demographic variables (i.e., household wealth, population density) on multiple grain sizes and extents.
This wealth and density of mutations in miRNA genes within a single species and between sister species thus provide a powerful substrate to test the processes driving their microevolutionary dynamics.
Resource costs were assumed to scale positively with per-capita wealth and population density (assuming that land and infrastructure prices are generally higher where population density is higher), while maintenance costs were assumed to also scale positively with per-capita wealth.
Zoning board officials, lawyers and academics blame density, wealth and its correlating sense of entitlement, not to mention the American propensity to litigate, for the volatile atmosphere.
Economists and social scientists have attempted to explain trends among countries for various indices of environmental performance based primarily on human population density, wealth and governmental structure and efficacy, with varying results.
The inverse relationship still holds when the models are controlled separately by wealth or population density.
The associations between tubewell depth and childhood diarrhea were adjusted separately by the five control variables, flood control, wealth, education, population density and the child's age.
The models for both independent variables also considered flood control, wealth, education, population density and the child's age as control variables.
Flood control, wealth, education, population density and the child's age were included in the analysis to determine if they alter the effect of access and depth on childhood diarrhea.
Using the principle of "trickle density of wealth" and incorporating a strategy of internally generated wealth due to improved health and education, the chapter derives the dynamics of wealth.
